Preparar el Entorno¶

In [1]:
#!pip install shap
In [145]:
#!pip install scikit-learn lightgbm xgboost

Requirement already satisfied: scikit-learn in /Users/rociobenitezgarcia/anaconda3/lib/python3.11/site-packages (1.4.2)
Requirement already satisfied: lightgbm in /Users/rociobenitezgarcia/anaconda3/lib/python3.11/site-packages (4.3.0)
Collecting xgboost
  Downloading xgboost-2.0.3-py3-none-macosx_12_0_arm64.whl.metadata (2.0 kB)
Requirement already satisfied: numpy>=1.19.5 in /Users/rociobenitezgarcia/anaconda3/lib/python3.11/site-packages (from scikit-learn) (1.24.3)
Requirement already satisfied: scipy>=1.6.0 in /Users/rociobenitezgarcia/anaconda3/lib/python3.11/site-packages (from scikit-learn) (1.11.3)
Requirement already satisfied: joblib>=1.2.0 in /Users/rociobenitezgarcia/anaconda3/lib/python3.11/site-packages (from scikit-learn) (1.2.0)
Requirement already satisfied: threadpoolctl>=2.0.0 in /Users/rociobenitezgarcia/anaconda3/lib/python3.11/site-packages (from scikit-learn) (2.2.0)
Downloading xgboost-2.0.3-py3-none-macosx_12_0_arm64.whl (1.9 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.9/1.9 MB 27.9 MB/s eta 0:00:00m eta 0:00:01[36m0:00:01
Installing collected packages: xgboost
Successfully installed xgboost-2.0.3
In [2]:
# Importaciones de librerías de análisis de datos básicas.
import pandas as pd  # Manipulación y análisis de datos.
import numpy as np  # Soporte para vectores y matrices.
import matplotlib.pyplot as plt  # Visualización de datos.
import seaborn as sns  # Visualización de datos basada en matplotlib.
from scipy.stats import randint as sp_randint

# Importaciones de herramientas de Sklearn para modelado y evaluación.
from sklearn import tree
from sklearn.model_selection import train_test_split, GridSearchCV, RandomizedSearchCV, learning_curve  # Herramientas para dividir datos y optimizar parámetros.
from sklearn.preprocessing import MinMaxScaler, StandardScaler  # Herramientas para la codificación y escalado de características.
from sklearn.linear_model import LassoCV, Lasso, LinearRegression
from sklearn.tree import DecisionTreeRegressor  # Modelo de regresión basado en árboles de decisión.
from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier, GradientBoostingRegressor, BaggingRegressor, ExtraTreesRegressor, StackingRegressor,VotingRegressor  # Modelos de ensamble basados en árboles.
from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error, median_absolute_error, explained_variance_score  # Métricas de evaluación para modelos de regresión.
from sklearn.compose import ColumnTransformer
from sklearn.pipeline import Pipeline

# Configuración de Pandas para mejorar la visualización en cuadernos Jupyter.
pd.set_option('display.max_rows', None) # Configurar Pandas para mostrar todas las filas
pd.set_option('display.max_columns', None) # Configurar Pandas para mostrar todas las columnas

# Añadir el directorio padre al path del sistema para permitir la importación de módulos personalizados.
import sys
sys.path.append('../src/utils')

# Importación de módulos personalizados para visualización y preprocesamiento de datos.
from utils import *
from preprocess import * # Módulo personalizado que incluye funciones específicas de preprocesamiento.
from modeling import *

from pycaret.regression import *

Cargar los Datos¶

In [3]:
df = pd.read_csv('../data/processed/prediction_dataset_complete.csv', sep=';')
df.shape # Verificación
Out[3]:
(717, 66)
In [4]:
df.head()
Out[4]:
edad sexo altura peso num calzado articulacion localizacion lado pace_walk velocidad_walk step rate_walk stride length_walk shock_walk impact gs_walk braking gs_walk footstrike type_walk pronation excursion_walk contact ratio_walk total force rate_walk step length_walk pronation excursion (mp->to)_walk stance excursion (fs->mp)_walk stance excursion (mp->to)_walk m1 hipermovil thomas psoas thomas rf thomas tfl ober arco aplanado arco elevado m1 dfx m5 hipermovil arco transverso disminuido m1 pfx arco transverso aumentado hlf hl hr hav index minus tfi tfe tti tte ober friccion popliteo t_hintermann jack normal jack no reconstruye pronacion no disponible 2heel raise heel raise fpi_total_i fpi_total_d tibia vara proximal tibia vara distal rotula divergente rotula convergente rotula ascendida genu valgo genu varo genu recurvatum genu flexum lunge imc zona afectada
0 36 0 173 65.0 40.0 rodilla medial b 1.291600 5.0 108.456898 1.4267 3.566339 2.310324 2.610172 6.314815 -11.106498 63.724990 24.952120 0.7133 -14.725130 19.445907 62.315404 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 3 3 0 3 0 3 0 0 1 3 0 0 0 0 -1.0 -1.0 0 0 0 0 0 0 0 3 0 1 21.72 rodilla_medial_b
1 35 1 181 78.0 44.0 sin afectacion no especificado no especificado 1.370079 5.0 114.767847 1.4312 3.119538 1.900867 2.387259 6.948276 -8.176466 62.112399 30.589598 0.7156 0.962024 17.340533 55.030184 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7.0 7.0 0 0 0 0 0 0 0 0 0 0 23.81 sin patologia
2 45 1 189 88.0 46.0 sin afectacion no especificado no especificado 1.371909 5.0 100.149777 1.6437 2.368494 1.597828 1.558757 10.680851 -4.411249 64.721319 32.726926 0.8218 0.192496 8.006323 77.799223 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6.0 5.0 0 0 0 0 0 0 0 0 0 0 24.64 sin patologia
3 43 1 182 70.0 44.0 pie medial d 1.318286 5.0 103.976334 1.5381 2.667928 1.708754 1.985392 11.180000 -4.351264 63.545858 28.220870 0.7690 6.506884 7.471882 81.783758 3 0 3 0 0 0 0 3 0 0 0 0 0 0 0 0 3 0 0 0 3 0 0 0 3 0 0 0 0 7.0 7.0 0 0 0 0 0 0 0 3 0 0 21.13 pie-tobillo_medial_d
4 41 1 184 90.0 43.0 pierna posterior b 1.362836 5.0 99.062660 1.6541 3.610964 2.665554 2.369300 7.900000 -10.180634 67.074954 33.841236 0.8270 -6.480006 14.944068 89.849386 0 0 3 1 0 0 3 0 0 0 3 3 0 0 0 0 3 0 0 0 3 0 3 0 0 0 0 0 0 3.0 0.0 1 0 0 0 0 0 3 0 0 3 26.58 pierna_posterior_b
In [5]:
df = df.drop(columns=['localizacion','lado','zona afectada', 'num calzado', 'articulacion',
                      'm1 hipermovil','thomas psoas','thomas rf','thomas tfl','ober','arco aplanado',
                      'arco elevado','m1 dfx','m5 hipermovil','arco transverso disminuido','m1 pfx',
                      'arco transverso aumentado','hlf','hl','hr','hav','index minus','tfi','tfe','tti','tte',
                      'ober friccion','popliteo','t_hintermann','jack normal','jack no reconstruye',
                      'pronacion no disponible','2heel raise','heel raise','fpi_total_i','fpi_total_d',
                      'tibia vara proximal','tibia vara distal','rotula divergente','rotula convergente',
                      'rotula ascendida','genu valgo','genu varo','genu recurvatum','genu flexum','lunge',
                      'zona afectada'])
df.head()
Out[5]:
edad sexo altura peso pace_walk velocidad_walk step rate_walk stride length_walk shock_walk impact gs_walk braking gs_walk footstrike type_walk pronation excursion_walk contact ratio_walk total force rate_walk step length_walk pronation excursion (mp->to)_walk stance excursion (fs->mp)_walk stance excursion (mp->to)_walk imc
0 36 0 173 65.0 1.291600 5.0 108.456898 1.4267 3.566339 2.310324 2.610172 6.314815 -11.106498 63.724990 24.952120 0.7133 -14.725130 19.445907 62.315404 21.72
1 35 1 181 78.0 1.370079 5.0 114.767847 1.4312 3.119538 1.900867 2.387259 6.948276 -8.176466 62.112399 30.589598 0.7156 0.962024 17.340533 55.030184 23.81
2 45 1 189 88.0 1.371909 5.0 100.149777 1.6437 2.368494 1.597828 1.558757 10.680851 -4.411249 64.721319 32.726926 0.8218 0.192496 8.006323 77.799223 24.64
3 43 1 182 70.0 1.318286 5.0 103.976334 1.5381 2.667928 1.708754 1.985392 11.180000 -4.351264 63.545858 28.220870 0.7690 6.506884 7.471882 81.783758 21.13
4 41 1 184 90.0 1.362836 5.0 99.062660 1.6541 3.610964 2.665554 2.369300 7.900000 -10.180634 67.074954 33.841236 0.8270 -6.480006 14.944068 89.849386 26.58
In [6]:
df.shape
Out[6]:
(717, 20)
In [7]:
df.describe()
Out[7]:
edad sexo altura peso pace_walk velocidad_walk step rate_walk stride length_walk shock_walk impact gs_walk braking gs_walk footstrike type_walk pronation excursion_walk contact ratio_walk total force rate_walk step length_walk pronation excursion (mp->to)_walk stance excursion (fs->mp)_walk stance excursion (mp->to)_walk imc
count 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000 717.000000
mean 38.979079 0.666667 173.221757 71.347280 1.349609 4.970432 111.059742 1.460512 2.319090 1.546282 1.634164 8.286613 -7.339779 63.468706 22.057213 0.784957 -3.694352 14.646706 69.499282 23.677434
std 13.567990 0.471734 8.864572 13.272632 0.143037 0.168766 6.963230 0.150942 0.869845 0.665171 0.641817 2.607825 4.995025 1.834326 7.648778 0.601167 7.460455 6.702769 9.603917 3.421989
min 15.000000 0.000000 148.000000 39.000000 0.083356 4.000000 85.079444 0.080300 0.749673 0.445394 0.586561 1.250000 -29.314351 41.133361 5.951576 0.040100 -22.855125 -0.159270 32.311573 15.040000
25% 29.000000 0.000000 168.000000 62.000000 1.360853 5.000000 106.965260 1.415500 1.746869 1.132492 1.209095 6.142857 -9.949229 62.571985 14.923921 0.709000 -8.719559 9.165190 62.860238 21.300000
50% 39.000000 1.000000 173.000000 70.000000 1.370556 5.000000 110.768829 1.477600 2.085319 1.363766 1.496472 8.641509 -6.237092 63.572288 21.696173 0.739100 -3.900480 13.714370 70.205739 23.390000
75% 48.000000 1.000000 179.000000 80.000000 1.379229 5.000000 114.542265 1.534200 2.645622 1.786143 1.887925 10.358491 -3.770695 64.425029 27.909278 0.767700 1.014514 20.009629 76.505691 25.450000
max 80.000000 1.000000 197.000000 135.000000 2.793561 5.000000 165.522552 2.024550 8.328855 6.403026 5.236189 15.403509 22.671300 71.494361 52.164520 7.663500 19.832126 37.078459 93.933162 41.670000
In [8]:
plot_boxplot(df)

Ingeniería de Características¶

In [9]:
# df['pace_force_interaction'] = df['pace_walk'] * df['total_force_rate_walk']
  • pace_walk esencialmente ya captura la relación entre stride_length_walk y step_rate_walk
  • pace_walk y total_force_rate_walk: Esto podría proporcionar insights útiles sobre cómo la velocidad afecta la fuerza ejercida, lo cual puede ser valioso para entender la eficiencia o el esfuerzo físico durante la marcha.

División en train y test¶

In [10]:
X = df.drop('edad', axis=1)  # Eliminar la columna objetivo del conjunto de características
y = df['edad']               # Definir el conjunto objetivo

# Dividir el conjunto de datos inicialmente en entrenamiento y test
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

print(f'Dimensiones del dataset de train: {X_train.shape} | {y_train.shape}')
print(f'Dimensiones del dataset de test: {X_test.shape} | {y_test.shape}')

# Guardamos
#X_train.to_csv('../data/processed/edad/X_train.csv', sep=';', decimal='.', index=False)
#X_test.to_csv('../data/processed/edad/X_test.csv', sep=';', decimal='.', index=False)

#y_train.to_csv('../data/processed/edad/y_train.csv', sep=';', decimal='.', index=False)
#y_test.to_csv('../data/processed/edad/y_test.csv', sep=';', decimal='.', index=False)

Dimensiones del dataset de train: (573, 19) | (573,)
Dimensiones del dataset de test: (144, 19) | (144,)
In [11]:
# Cargar los dataset
#X_train = pd.read_csv('../data/processed/X_train.csv', sep=';', decimal='.')
#X_test = pd.read_csv('../data/processed/X_test.csv', sep=';', decimal='.')

#y_train = pd.read_csv('../data/processed/y_train.csv', sep=';', decimal='.')
#y_test = pd.read_csv('../data/processed/y_test.csv', sep=';', decimal='.')

X_train.head()
Out[11]:
sexo altura peso pace_walk velocidad_walk step rate_walk stride length_walk shock_walk impact gs_walk braking gs_walk footstrike type_walk pronation excursion_walk contact ratio_walk total force rate_walk step length_walk pronation excursion (mp->to)_walk stance excursion (fs->mp)_walk stance excursion (mp->to)_walk imc
56 0 172 75.0 1.368319 5.0 109.194179 1.5016 1.524022 1.057431 1.038486 9.641509 -5.684268 65.027124 25.497243 0.7508 -7.434855 10.572534 79.712572 25.35
204 0 162 48.0 1.368103 5.0 122.478141 1.3394 2.092592 1.234906 1.653794 10.135593 -4.712142 63.545308 36.370124 0.6697 -1.344819 9.485441 70.492861 18.29
319 1 175 84.0 1.373916 5.0 104.662392 1.5718 2.056176 1.132492 1.664708 9.122449 -5.873743 64.201322 28.241222 0.7859 -6.815706 12.528708 70.281267 27.43
529 0 165 59.0 1.323587 5.0 117.714762 1.3621 2.612318 1.213409 2.297158 13.290698 -3.467495 61.867358 13.023283 0.6810 -2.696228 2.923158 84.663890 21.67
24 1 180 80.0 1.466770 5.0 103.557772 1.6977 2.345449 1.390545 1.798294 10.170213 -6.251336 65.817260 30.570762 0.8489 -11.913247 9.883991 84.795562 24.69
In [12]:
X_train.hist(bins=20, figsize=(26,24), color='royalblue')
plt.show()
In [13]:
X_train.describe().round(3)
Out[13]:
sexo altura peso pace_walk velocidad_walk step rate_walk stride length_walk shock_walk impact gs_walk braking gs_walk footstrike type_walk pronation excursion_walk contact ratio_walk total force rate_walk step length_walk pronation excursion (mp->to)_walk stance excursion (fs->mp)_walk stance excursion (mp->to)_walk imc
count 573.000 573.000 573.000 573.000 573.00 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000
mean 0.642 172.766 70.733 1.348 4.97 111.269 1.456 2.335 1.558 1.644 8.288 -7.356 63.456 21.821 0.773 -3.776 14.642 69.486 23.605
std 0.480 8.739 12.980 0.152 0.17 6.946 0.155 0.883 0.678 0.648 2.632 5.078 1.897 7.605 0.541 7.393 6.776 9.578 3.377
min 0.000 148.000 46.000 0.083 4.00 85.079 0.080 0.750 0.445 0.587 1.250 -29.314 41.133 5.952 0.040 -22.855 -0.159 32.312 16.050
25% 0.000 167.000 62.000 1.361 5.00 107.557 1.410 1.764 1.139 1.209 6.056 -10.102 62.589 14.845 0.705 -8.802 9.196 62.860 21.260
50% 1.000 173.000 70.000 1.371 5.00 111.066 1.472 2.103 1.372 1.514 8.667 -6.268 63.572 20.208 0.736 -3.900 13.487 70.118 23.200
75% 1.000 179.000 78.000 1.379 5.00 114.683 1.529 2.655 1.790 1.909 10.342 -3.845 64.394 27.788 0.765 1.075 20.099 76.392 25.250
max 1.000 195.000 135.000 2.794 5.00 165.523 2.025 8.329 6.403 5.236 15.404 22.671 71.494 52.165 7.664 19.832 37.078 93.933 41.670

Escalado y Transformación de Características¶

In [14]:
X_train1 = X_train.iloc[:, 0:len(X_train.columns)]
X_train2 = X_train.iloc[:, 0:len(X_train.columns)]

scaleStandard = StandardScaler()
X_train_ss = pd.DataFrame(scaleStandard.fit_transform(X_train1), columns = X_train.columns)
X_test_ss = pd.DataFrame(scaleStandard.transform(X_test), columns = X_test.columns)
X_train_ss.describe().round(3)
Out[14]:
sexo altura peso pace_walk velocidad_walk step rate_walk stride length_walk shock_walk impact gs_walk braking gs_walk footstrike type_walk pronation excursion_walk contact ratio_walk total force rate_walk step length_walk pronation excursion (mp->to)_walk stance excursion (fs->mp)_walk stance excursion (mp->to)_walk imc
count 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000
mean 0.000 0.000 -0.000 -0.000 -0.000 0.000 -0.000 -0.000 -0.000 -0.000 0.000 0.000 0.000 -0.000 0.000 0.000 0.000 0.000 -0.000
std 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
min -1.340 -2.836 -1.907 -8.317 -5.717 -3.774 -8.859 -1.797 -1.642 -1.634 -2.676 -4.328 -11.778 -2.089 -1.354 -2.583 -2.186 -3.885 -2.239
25% -1.340 -0.660 -0.673 0.082 0.176 -0.535 -0.296 -0.647 -0.619 -0.672 -0.849 -0.541 -0.458 -0.918 -0.126 -0.680 -0.805 -0.692 -0.695
50% 0.746 0.027 -0.057 0.146 0.176 -0.029 0.104 -0.262 -0.274 -0.202 0.144 0.215 0.061 -0.212 -0.067 -0.017 -0.171 0.066 -0.120
75% 0.746 0.714 0.560 0.202 0.176 0.492 0.470 0.363 0.343 0.409 0.781 0.692 0.495 0.785 -0.014 0.657 0.806 0.722 0.488
max 0.746 2.546 4.956 9.502 0.176 7.817 3.665 6.795 7.150 5.548 2.706 5.918 4.242 3.994 12.739 3.196 3.314 2.555 5.354
In [15]:
plot_boxplot(X_train_ss)
In [16]:
scaleMinMax = MinMaxScaler(feature_range=(0,1))
X_train_mm = pd.DataFrame(scaleMinMax.fit_transform(X_train2), columns = X_train.columns)
X_test_mm = pd.DataFrame(scaleMinMax.transform(X_test), columns = X_test.columns)
X_train_mm.describe().round(3)
Out[16]:
sexo altura peso pace_walk velocidad_walk step rate_walk stride length_walk shock_walk impact gs_walk braking gs_walk footstrike type_walk pronation excursion_walk contact ratio_walk total force rate_walk step length_walk pronation excursion (mp->to)_walk stance excursion (fs->mp)_walk stance excursion (mp->to)_walk imc
count 573.000 573.000 573.000 573.000 573.00 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000 573.000
mean 0.642 0.527 0.278 0.467 0.97 0.326 0.707 0.209 0.187 0.227 0.497 0.422 0.735 0.343 0.096 0.447 0.397 0.603 0.295
std 0.480 0.186 0.146 0.056 0.17 0.086 0.080 0.116 0.114 0.139 0.186 0.098 0.062 0.165 0.071 0.173 0.182 0.155 0.132
min 0.000 0.000 0.000 0.000 0.00 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
25% 0.000 0.404 0.180 0.471 1.00 0.279 0.684 0.134 0.116 0.134 0.340 0.370 0.707 0.192 0.087 0.329 0.251 0.496 0.203
50% 1.000 0.532 0.270 0.475 1.00 0.323 0.716 0.179 0.156 0.199 0.524 0.443 0.739 0.308 0.091 0.444 0.366 0.614 0.279
75% 1.000 0.660 0.360 0.478 1.00 0.368 0.745 0.251 0.226 0.284 0.642 0.490 0.766 0.473 0.095 0.561 0.544 0.715 0.359
max 1.000 1.000 1.000 1.000 1.00 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000
In [17]:
plot_boxplot(X_train_mm)
In [18]:
print(f'Dimensiones del dataset de train: {X_train_ss.shape} | {y_train.shape}')
print(f'Dimensiones del dataset de test: {X_test_ss.shape} | {y_test.shape}\n')
print(f'Dimensiones del dataset de train: {X_train_mm.shape} | {y_train.shape}')
print(f'Dimensiones del dataset de test: {X_test_mm.shape} | {y_test.shape}')

Dimensiones del dataset de train: (573, 19) | (573,)
Dimensiones del dataset de test: (144, 19) | (144,)

Dimensiones del dataset de train: (573, 19) | (573,)
Dimensiones del dataset de test: (144, 19) | (144,)

Matriz de Correlación¶

In [19]:
# Concatenar la Variable Objetivo Codificada con X_train
X_train_with_target = X_train.copy()
X_train_with_target['Target'] = y_train

corr_matrix = X_train_with_target.corr()

plot_heatmap(corr_matrix, figsize=(18, 14), cmap="GnBu", title='', annot=False)

Pycaret¶

In [20]:
from pycaret.utils import version
version()
Out[20]:
'3.3.2'

DataFrame Completo sin Selección de Características¶

In [21]:
from pycaret.regression import setup, compare_models

# Configuración inicial de PyCaret
reg_setup = setup(data=df, 
                  target='edad', 
                  session_id=123,  # Para reproducibilidad
                  remove_multicollinearity=True,  # Eliminar multicolinealidad
                  fold_strategy='kfold')

best = compare_models(fold=10)
  Description Value
0 Session id 123
1 Target edad
2 Target type Regression
3 Original data shape (717, 20)
4 Transformed data shape (717, 18)
5 Transformed train set shape (501, 18)
6 Transformed test set shape (216, 18)
7 Numeric features 19
8 Preprocess True
9 Imputation type simple
10 Numeric imputation mean
11 Categorical imputation mode
12 Remove multicollinearity True
13 Multicollinearity threshold 0.900000
14 Fold Generator KFold
15 Fold Number 10
16 CPU Jobs -1
17 Use GPU False
18 Log Experiment False
19 Experiment Name reg-default-name
20 USI 9298
  Model MAE MSE RMSE R2 RMSLE MAPE TT (Sec)
et Extra Trees Regressor 6.5315 88.5039 9.3501 0.4932 0.2646 0.2077 0.0120
gbr Gradient Boosting Regressor 7.4970 92.0821 9.5143 0.4743 0.2691 0.2338 0.0140
rf Random Forest Regressor 7.3414 94.0233 9.6387 0.4580 0.2735 0.2321 0.0230
lightgbm Light Gradient Boosting Machine 7.2343 99.1129 9.8745 0.4335 0.2771 0.2255 0.2520
lr Linear Regression 8.6670 113.8104 10.6405 0.3384 0.2935 0.2639 0.1350
ada AdaBoost Regressor 8.8763 115.9142 10.7286 0.3377 0.3022 0.2796 0.0080
ridge Ridge Regression 8.7528 115.3835 10.7132 0.3306 0.2948 0.2663 0.0030
br Bayesian Ridge 8.8740 116.7040 10.7685 0.3259 0.2977 0.2721 0.0030
en Elastic Net 8.9118 117.3679 10.7983 0.3226 0.2987 0.2736 0.0030
lasso Lasso Regression 8.9500 118.1620 10.8347 0.3182 0.2997 0.2750 0.0850
llar Lasso Least Angle Regression 8.9501 118.1639 10.8348 0.3182 0.2997 0.2750 0.0840
lar Least Angle Regression 8.8307 117.5246 10.8153 0.3152 0.2964 0.2674 0.0020
huber Huber Regressor 8.8597 118.0148 10.8314 0.3150 0.2971 0.2665 0.0040
knn K Neighbors Regressor 9.3609 135.9023 11.6325 0.2174 0.3161 0.2790 0.0080
omp Orthogonal Matching Pursuit 10.2889 161.4679 12.6417 0.0845 0.3428 0.3197 0.0030
dummy Dummy Regressor 10.7720 178.4980 13.3018 -0.0119 0.3646 0.3441 0.0020
par Passive Aggressive Regressor 11.0412 192.2085 13.4547 -0.0634 0.3728 0.3075 0.0030
dt Decision Tree Regressor 9.2946 185.4762 13.4825 -0.0985 0.3723 0.2720 0.0030
  • Datos Transformados: El proceso ha ajustado el conjunto de datos a 717 muestras y 18 características transformadas.
  • Eliminación de Multicolinearidad: Se ha configurado para eliminar características con una correlación superior al 90%, lo que ayuda a reducir la redundancia y potencial sobreajuste.
  • Métricas de los Mejores Modelos: El Extra Trees Regressor es el que presenta las métricas más favorables en este análisis con un MAE de 6.5701, MSE de 89.4818 y un R2 de 0.4867.
In [22]:
et = create_model('et', fold=10)
  MAE MSE RMSE R2 RMSLE MAPE
Fold            
0 6.1163 82.3219 9.0731 0.5868 0.2507 0.1929
1 5.1246 61.4011 7.8359 0.6785 0.2363 0.1737
2 8.2900 123.9955 11.1353 0.4067 0.3032 0.2578
3 7.9912 127.9902 11.3133 0.4985 0.3248 0.2704
4 6.1590 80.8411 8.9912 0.5381 0.2725 0.2141
5 5.7116 73.2988 8.5615 0.5235 0.2371 0.1778
6 6.8908 91.1148 9.5454 0.3625 0.2652 0.2119
7 6.8674 82.2812 9.0709 0.4288 0.2788 0.2390
8 6.0764 87.4135 9.3495 0.4777 0.2556 0.1842
9 6.0874 74.3813 8.6245 0.4308 0.2220 0.1551
Mean 6.5315 88.5039 9.3501 0.4932 0.2646 0.2077
Std 0.9398 20.3167 1.0394 0.0888 0.0300 0.0362
In [23]:
plot_model(et)

El coeficiente R^2 en el conjunto de entrenamiento es 1.000, lo que indica un sobreajuste extremo, mientras que en el conjunto de prueba es 0.429, lo que sugiere que el modelo no generaliza bien a nuevos datos.

In [24]:
plot_model(et, plot = 'error')

Este gráfico muestra una línea de identidad y una línea de mejor ajuste que difiere de la identidad, reforzando que el modelo no predice con exactitud, particularmente para valores más altos, donde las predicciones tienden a desviarse.

In [25]:
plot_model(et, plot = 'feature')

La gráfica muestra que ciertas características como imc, stance excursion (mp->to)_walk, y peso tienen una importancia relativamente alta, lo que sugiere que impactan significativamente en las predicciones del modelo.

In [26]:
interpret_model(et)

Proporciona una visión más detallada de cómo cada característica contribuye a las predicciones del modelo. Los valores SHAP altos en rojo indican un impacto positivo en la predicción, mientras que los valores en azul indican un impacto negativo.

In [27]:
pred_holdouts = predict_model(et)
pred_holdouts.head()
  Model MAE MSE RMSE R2 RMSLE MAPE
0 Extra Trees Regressor 7.2575 111.0403 10.5376 0.4324 0.2967 0.2331
Out[27]:
sexo altura peso pace_walk velocidad_walk step rate_walk stride length_walk shock_walk impact gs_walk braking gs_walk ... pronation excursion_walk contact ratio_walk total force rate_walk step length_walk pronation excursion (mp->to)_walk stance excursion (fs->mp)_walk stance excursion (mp->to)_walk imc edad prediction_label
221 1 183 80.0 1.369794 5.0 100.110695 1.6376 1.400971 0.907010 1.034359 ... -5.131702 62.879509 32.683510 0.8188 4.772017 19.983431 82.048805 23.889999 36 35.50
421 0 160 58.0 1.383435 5.0 121.703499 1.3641 2.809687 1.786143 2.122265 ... -8.684649 62.736145 15.499695 0.6821 0.672912 21.669538 65.181786 22.660000 49 33.64
637 1 187 80.0 1.378343 5.0 102.821175 1.6217 1.323230 1.075733 0.735767 ... -16.563437 60.509689 19.752890 0.8109 0.663300 25.004606 52.429550 22.879999 29 29.00
641 1 173 93.0 1.382228 5.0 116.821167 1.4182 1.937607 1.276474 1.411072 ... -1.634171 65.325462 12.597550 0.7091 4.597264 19.320871 62.338638 31.070000 56 56.00
336 0 168 72.0 1.378090 5.0 119.250023 1.3886 2.992953 2.024507 2.196171 ... -9.065692 61.962463 34.322460 0.6943 -6.855934 11.283381 55.317280 25.510000 67 51.52

5 rows × 21 columns

Consideraciones

  • Revisar y ajustar hiperparámetros para reducir el sobreajuste, posiblemente explorando valores más bajos para max_depth y aumentando min_samples_split. El ajuste de hiperparámetros y la experimentación con diferentes configuraciones o tipos de modelos serán esenciales para mejorar la robustez y la precisión de tus predicciones.
  • Comparar valores predichos con valores reales.
  • Experimentar con más modelos que manejen mejor la variabilidad y no linealidad de los datos, como Gradient Boosting o modelos más complejos de ensamble. Los modelos anteriores muestran un comportamiento de sobreajuste y una capacidad limitada para generalizar.

Modelado¶

1. Lasso¶

Datos escalados con StandardScaler¶

In [28]:
plot_lasso_paths(X_train_ss, y_train)
In [29]:
best_alpha = optimize_alpha(X_train_ss, y_train)

Best parameters: {'alpha': 0.4216965034285822}
In [30]:
lasso1 = Lasso(alpha=best_alpha)  # Reemplazar con el valor de alpha anterior
lasso1.fit(X_train_ss, y_train)
lasso_coefs = lasso1.coef_ # Obtener los coeficientes

# Identificar las características que el modelo Lasso ha reducido a cero
features_to_remove = [feature for feature, coef in zip(X_train_ss.columns, lasso_coefs) if coef == 0]
print("Características para eliminar:", features_to_remove)
print(f"\nTrain: {lasso1.score(X_train_ss,y_train)}")
print(f"Test: {lasso1.score(X_test_ss,y_test)} \n")

evaluate_model_reg(lasso1, X_test_ss, y_test, title='Lasso Regression')

Características para eliminar: ['sexo', 'altura', 'peso', 'pace_walk', 'velocidad_walk', 'step rate_walk', 'impact gs_walk', 'pronation excursion_walk', 'contact ratio_walk', 'pronation excursion (mp->to)_walk', 'stance excursion (fs->mp)_walk']

Train: 0.3794418947466843
Test: 0.3633767005009608 

MAE: 8.5850
MSE: 112.5500
RMSE: 10.6090
R2: 0.3630
Out[30]:
{'MAE': 8.585, 'MSE': 112.55, 'RMSE': 10.609, 'R2': 0.363}

Datos escalados con StandardScaler y Selección de Características¶

In [31]:
selected_cols = ['stride length_walk', 'shock_walk', 'footstrike type_walk', 'total force rate_walk',
                 'step length_walk', 'stance excursion (mp->to)_walk', 'imc']

lasso1b = Lasso(alpha=best_alpha)  # Reemplazar con el valor de alpha anterior
lasso1b.fit(X_train_ss[selected_cols], y_train)
lasso_coefs = lasso1b.coef_  # Obtener los coeficientes

# Identificar las características que el modelo Lasso ha reducido a cero
features_to_remove = [feature for feature, coef in zip(X_train_ss[selected_cols].columns, lasso_coefs) if coef == 0]

print("Características para eliminar:", features_to_remove)
print(f"\nTrain: {lasso1b.score(X_train_ss[selected_cols],y_train)}")
print(f"Test: {lasso1b.score(X_test_ss[selected_cols],y_test)} \n")

evaluate_model_reg(lasso1b, X_test_ss[selected_cols], y_test, title='Lasso Regression')

Características para eliminar: []

Train: 0.3794428817046889
Test: 0.3634014243931055 

MAE: 8.5850
MSE: 112.5450
RMSE: 10.6090
R2: 0.3630
Out[31]:
{'MAE': 8.585, 'MSE': 112.545, 'RMSE': 10.609, 'R2': 0.363}

Datos escalados con MinMaxScaler¶

In [32]:
plot_lasso_paths(X_train_mm, y_train)
In [33]:
best_alpha_2 = optimize_alpha(X_train_mm, y_train)

Best parameters: {'alpha': 0.051089697745069135}
In [34]:
lasso2 = Lasso(alpha=best_alpha_2)  # Reemplazar con el valor de alpha anterior
lasso2.fit(X_train_mm, y_train)
lasso_coefs = lasso2.coef_  # Obtener los coeficientes

# Identificar las características que el modelo Lasso ha reducido a cero
features_to_remove = [feature for feature, coef in zip(X_train_mm.columns, lasso_coefs) if coef == 0]
print("Características para eliminar:", features_to_remove)
print(f"\nTrain: {lasso2.score(X_train_mm,y_train)}")
print(f"Test: {lasso2.score(X_test_mm,y_test)} \n")

evaluate_model_reg(lasso2, X_test_mm, y_test, title='Lasso Regression')

Características para eliminar: ['altura', 'peso', 'pace_walk', 'step rate_walk', 'impact gs_walk', 'pronation excursion_walk', 'contact ratio_walk', 'step length_walk', 'pronation excursion (mp->to)_walk', 'stance excursion (fs->mp)_walk']

Train: 0.3806400868768145
Test: 0.3635522804988004 

MAE: 8.5430
MSE: 112.5190
RMSE: 10.6070
R2: 0.3640
Out[34]:
{'MAE': 8.543, 'MSE': 112.519, 'RMSE': 10.607, 'R2': 0.364}

Datos escalados con MinMaxScaler y Selección de Características¶

In [35]:
selected_cols = ['sexo', 'velocidad_walk', 'stride length_walk', 'shock_walk', 'braking gs_walk',
                 'footstrike type_walk', 'total force rate_walk', 'stance excursion (mp->to)_walk', 'imc']

lasso2b = Lasso(alpha=best_alpha_2)  # Reemplazar con el valor de alpha anterior
lasso2b.fit(X_train_mm[selected_cols], y_train)
lasso_coefs = lasso2b.coef_ # Obtener los coeficientes

# Identificar las características que el modelo Lasso ha reducido a cero
features_to_remove = [feature for feature, coef in zip(X_train_mm[selected_cols].columns, lasso_coefs) if coef == 0]

print("Características para eliminar:", features_to_remove)
print(f"\nTrain: {lasso2b.score(X_train_mm[selected_cols],y_train)}")
print(f"Test: {lasso2b.score(X_test_mm[selected_cols],y_test)} \n")

evaluate_model_reg(lasso2b, X_test_mm[selected_cols], y_test, title='Lasso Regression')

Características para eliminar: []

Train: 0.38063707843288175
Test: 0.3635349451510995 

MAE: 8.5430
MSE: 112.5220
RMSE: 10.6080
R2: 0.3640
Out[35]:
{'MAE': 8.543, 'MSE': 112.522, 'RMSE': 10.608, 'R2': 0.364}

Conclusiones¶

En esta etapa de evaluación de modelos Lasso con diferentes configuraciones de preprocesamiento y selección de características, se han obtenido resultados muy similares entre las cuatro configuraciones probadas. Los modelos entrenados presentaron una capacidad predictiva similar tanto en los conjuntos de entrenamiento como de prueba, con métricas de desempeño muy cercanas en términos de MAE, MSE, RMSE y R².

Influencia del Escalado de Datos: La comparación entre los modelos que utilizan StandardScaler (Modelo 1 y 2) y MinMaxScaler (Modelo 3 y 4) muestra una ligera mejora en las métricas de rendimiento con el uso de MinMaxScaler. Sin embargo, estas mejoras son mínimas, lo que sugiere que el método de escalado no tiene un impacto significativo en la capacidad predictiva del modelo Lasso para este conjunto de datos.

Efecto de la Eliminación de Características: Eliminar características basadas en su importancia en el primer y tercer modelo no alteró las métricas de rendimiento (Modelo 2 y 4 respectivamente). Esto indica que las características eliminadas no contribuyen significativamente a la capacidad predictiva del modelo, o que la penalización Lasso ya ha reducido efectivamente la influencia de estas características poco importantes en el modelo original.

Estabilidad del Modelo Lasso: Los valores consistentes de R² y las métricas de error en todos los modelos indican una estabilidad en la predicción del modelo Lasso, independientemente del preprocesamiento y la selección de características. Esto puede ser atribuido a la naturaleza de Lasso que incluye la selección de características como parte de su regularización.

Esta etapa ha demostrado que mientras Lasso es efectivo para simplificar el modelo y manejar la multicolinearidad, su capacidad para mejorar significativamente el rendimiento predictivo en este caso particular es limitada.

2. Linear Regression¶

In [36]:
lr = LinearRegression().fit(X_train, y_train)
evaluate_model_reg(lr,X_test, y_test, title="Linear Regression")

# Mostrar los coeficientes del modelo
print('\nIntercepto (w0):', lr.intercept_)
print('Coeficientes (w1, w2, ..., wn):', lr.coef_)

# Calcular la norma L2 al cuadrado de los coeficientes (sin incluir el intercepto)
norm_w2 = np.dot(lr.coef_,lr.coef_.T) 
print(f'\n||w||_2^2 = {norm_w2:.2g}\n')
print("Train: ",lr.score(X_train,y_train))
print("Test: ",lr.score(X_test,y_test))

MAE: 8.2880
MSE: 109.4670
RMSE: 10.4630
R2: 0.3810

Intercepto (w0): -129.02682854020043
Coeficientes (w1, w2, ..., wn): [ -1.67835003   0.7978791   -0.94214152  30.22167656   1.86527573
  -0.24709852 -38.38619948  -4.58489387   2.78206354   1.86222887
   2.87275387  -0.18604814   0.47729808   0.30537522   1.12845495
   0.04421634   0.25082562  -0.4909435    4.3085196 ]

||w||_2^2 = 2.5e+03

Train:  0.402077359377493
Test:  0.3808139364678741
In [37]:
# Comparación de valores reales y predichos
y_pred = lr.predict(X_test)
print("\nComparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
    print(f'Real: {real}, Predicho: {pred}')

Comparación de valores reales y predichos:
Real: 29, Predicho: 39.35740861411634
Real: 35, Predicho: 26.61256664323841
Real: 35, Predicho: 37.599001640528144
Real: 29, Predicho: 35.24587752070104
Real: 27, Predicho: 38.58743230123858
Real: 75, Predicho: 61.813490146557115
Real: 59, Predicho: 49.5153959138251
Real: 27, Predicho: 30.7298046671863
Real: 61, Predicho: 53.26139588487476
Real: 19, Predicho: 30.746992253469074

Linear Regression con los Datos Escalados¶

In [38]:
lr2 = LinearRegression().fit(X_train_ss, y_train)
evaluate_model_reg(lr2,X_test_ss, y_test, title="Linear Regression")

# Mostrar los coeficientes del modelo
print('\nIntercepto (w0):', lr2.intercept_)
print('Coeficientes (w1, w2, ..., wn):', lr2.coef_)

# Calcular la norma L2 al cuadrado de los coeficientes (sin incluir el intercepto)
norm_w2 = np.dot(lr2.coef_,lr2.coef_.T) 
print(f'\n||w||_2^2 = {norm_w2:.2g}\n')
print("Train: ",lr2.score(X_train_ss,y_train))
print("Test: ",lr2.score(X_test_ss,y_test))

MAE: 8.2880
MSE: 109.4670
RMSE: 10.4630
R2: 0.3810

Intercepto (w0): 38.537521815008716
Coeficientes (w1, w2, ..., wn): [ -0.80450502   6.96665456 -12.21843901   4.59638557   0.31652176
  -1.71493662  -5.95941152  -4.04466136   1.88531393   1.20570479
   7.55487196  -0.94395407   0.90458538   2.32022711   0.61038676
   0.32659767   1.69800764  -4.69795639  14.53722766]

||w||_2^2 = 5.8e+02

Train:  0.4020773593774932
Test:  0.38081393646787465
In [39]:
# Comparación de valores reales y predichos
y_pred = lr2.predict(X_test_ss)
print("\nComparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
    print(f'Real: {real}, Predicho: {pred}')

Comparación de valores reales y predichos:
Real: 29, Predicho: 39.357408614116366
Real: 35, Predicho: 26.612566643238395
Real: 35, Predicho: 37.59900164052791
Real: 29, Predicho: 35.24587752070107
Real: 27, Predicho: 38.58743230123869
Real: 75, Predicho: 61.813490146557065
Real: 59, Predicho: 49.51539591382518
Real: 27, Predicho: 30.72980466718637
Real: 61, Predicho: 53.26139588487483
Real: 19, Predicho: 30.74699225346908
In [40]:
lr3 = LinearRegression().fit(X_train_mm, y_train)
evaluate_model_reg(lr3,X_test_mm, y_test, title="Linear Regression")

# Mostrar los coeficientes del modelo
print('\nIntercepto (w0):', lr3.intercept_)
print('Coeficientes (w1, w2, ..., wn):', lr3.coef_)

# Calcular la norma L2 al cuadrado de los coeficientes (sin incluir el intercepto)
norm_w2 = np.dot(lr3.coef_,lr3.coef_.T) 
print(f'\n||w||_2^2 = {norm_w2:.2g}\n')
print("Train: ",lr3.score(X_train_mm,y_train))
print("Test: ",lr3.score(X_test_mm,y_test))

MAE: 8.2880
MSE: 109.4670
RMSE: 10.4630
R2: 0.3810

Intercepto (w0): 13.26835975913934
Coeficientes (w1, w2, ..., wn): [ -1.67835003  37.50031792 -83.85059524  81.90693282   1.86527573
 -19.87737287 -74.63236834 -34.74974713  16.57451111   8.65867145
  40.65954712  -9.67183368  14.49124676  14.11228779   8.60266344
   1.88747415   9.34017648 -30.2527185  110.38427205]

||w||_2^2 = 3.8e+04

Train:  0.4020773593774931
Test:  0.380813936467874
In [41]:
# Comparación de valores reales y predichos
y_pred = lr3.predict(X_test_mm)
print("\nComparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
    print(f'Real: {real}, Predicho: {pred}')

Comparación de valores reales y predichos:
Real: 29, Predicho: 39.35740861411636
Real: 35, Predicho: 26.61256664323838
Real: 35, Predicho: 37.59900164052793
Real: 29, Predicho: 35.245877520701086
Real: 27, Predicho: 38.58743230123872
Real: 75, Predicho: 61.81349014655707
Real: 59, Predicho: 49.51539591382526
Real: 27, Predicho: 30.729804667186357
Real: 61, Predicho: 53.26139588487483
Real: 19, Predicho: 30.74699225346905

Conclusiones¶

En las pruebas realizadas con el modelo de regresión lineal aplicando diferentes métodos de escalado, se observa que las métricas de rendimiento (MAE, MSE, RMSE, R2) son consistentes a través de los tres modelos, indicando que el método de escalado no tiene un impacto significativo en el rendimiento predictivo del modelo para este conjunto de datos.

Sin embargo, los valores de los coeficientes y sus normas L2 al cuadrado varían considerablemente, reflejando cambios en la magnitud de los coeficientes que dependen del tipo de escalado aplicado. Esto sugiere que, aunque el escalado no altera la calidad de la predicción del modelo, sí afecta la escala y la interpretación de los coeficientes del modelo.

Aunque el modelo logra cierta aproximación a los valores reales, hay una variabilidad considerable en la precisión de las predicciones. Algunas predicciones están bastante alejadas de los valores reales, especialmente en casos donde la edad real es más alta.

3. Árbol de Decisión (DecisionTreeRegressor)¶

In [42]:
dt_param_grid = {
    'max_depth': range(1, 20),
    'min_samples_split': [2, 10, 20],
    'min_samples_leaf': [1, 4, 10]
}

dt_model_1 = train_and_plot_model(DecisionTreeRegressor(random_state=0), dt_param_grid, X_train, y_train, cv=5)

Fitting 5 folds for each of 171 candidates, totalling 855 fits
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
Best mean cross-validation score: 0.316
Best parameters: {'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2}
In [43]:
fig = plt.figure(figsize=(25,20))
_ = tree.plot_tree(dt_model_1, feature_names=list(X_train.columns), filled=True)
In [44]:
plot_feature_importance(dt_model_1, X_train.columns, figsize=(10,12))
In [45]:
print("Train: ",dt_model_1.score(X_train,y_train))
print("Test: ",dt_model_1.score(X_test,y_test))

Train:  0.40006471949444344
Test:  0.19060473974886327
In [46]:
evaluate_model_reg(dt_model_1,X_test, y_test, title="Decision Tree Regressor")

MAE: 9.6310
MSE: 143.0940
RMSE: 11.9620
R2: 0.1910
Out[46]:
{'MAE': 9.631, 'MSE': 143.094, 'RMSE': 11.962, 'R2': 0.191}
In [47]:
# Comparación de valores reales y predichos
y_pred = dt_model_1.predict(X_test)
print("\nComparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
    print(f'Real: {real}, Predicho: {pred}')

Comparación de valores reales y predichos:
Real: 29, Predicho: 30.497737556561084
Real: 35, Predicho: 30.497737556561084
Real: 35, Predicho: 41.55203619909502
Real: 29, Predicho: 30.497737556561084
Real: 27, Predicho: 41.55203619909502
Real: 75, Predicho: 67.66666666666667
Real: 59, Predicho: 41.55203619909502
Real: 27, Predicho: 30.497737556561084
Real: 61, Predicho: 41.55203619909502
Real: 19, Predicho: 36.032786885245905

Árbol de Decisión con Selección de Características¶

In [48]:
columns = ['peso', 'braking gs_walk', 'footstrike type_walk', 'contact ratio_walk', 'total force rate_walk',
           'step length_walk', 'stance excursion (mp->to)_walk','stride length_walk', 'imc']

dt_param_grid = {
    'max_depth': range(1, 20),
    'min_samples_split': [2, 10, 20],
    'min_samples_leaf': [1, 4, 10]
}

dt_model_2 = train_and_plot_model(DecisionTreeRegressor(random_state=0), dt_param_grid, X_train[columns], y_train, cv=5)

Fitting 5 folds for each of 171 candidates, totalling 855 fits
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time=   0.0s
Best mean cross-validation score: 0.326
Best parameters: {'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10}
In [49]:
print(f"Train: {dt_model_2.score(X_train[columns],y_train)}")
print(f"Test: {dt_model_2.score(X_test[columns],y_test)}\n")

evaluate_model_reg(dt_model_2,X_test[columns], y_test, title="Decision Tree Regressor")

Train: 0.40006471949444344
Test: 0.19060473974886327

MAE: 9.6310
MSE: 143.0940
RMSE: 11.9620
R2: 0.1910
Out[49]:
{'MAE': 9.631, 'MSE': 143.094, 'RMSE': 11.962, 'R2': 0.191}
In [50]:
y_pred = dt_model_2.predict(X_test[columns])
print("Comparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
    print(f'Real: {real}, Predicho: {pred}')

Comparación de valores reales y predichos:
Real: 29, Predicho: 30.497737556561084
Real: 35, Predicho: 30.497737556561084
Real: 35, Predicho: 41.55203619909502
Real: 29, Predicho: 30.497737556561084
Real: 27, Predicho: 41.55203619909502
Real: 75, Predicho: 67.66666666666667
Real: 59, Predicho: 41.55203619909502
Real: 27, Predicho: 30.497737556561084
Real: 61, Predicho: 41.55203619909502
Real: 19, Predicho: 36.032786885245905

Conclusiones¶

El modelo de árbol de decisión ha demostrado tener un rendimiento limitado en el conjunto de datos proporcionado, como lo indican las métricas de evaluación y la comparación de los valores predichos frente a los reales. A pesar de implementar una selección de características más relevante y ajustar los parámetros del modelo, los resultados siguen siendo subóptimos, especialmente en el conjunto de prueba.

Desempeño del Modelo:

  • El modelo tiene un R^2 de 0.206 en el conjunto de prueba, lo que sugiere que sólo puede explicar aproximadamente el 20.6% de la variabilidad en los datos objetivo. Esto es relativamente bajo, indicando una capacidad predictiva pobre.
  • Las métricas de error, incluyendo un MSE de 140.421 y un RMSE de 11.850, son altas, lo que confirma que las predicciones del modelo a menudo están lejos de los valores reales.

Ajuste del Modelo:

  • El modelo muestra un sobreajuste, como se evidencia por una puntuación significativamente más alta en el entrenamiento (R^2 de 0.519) comparado con la prueba (R^2 de 0.206).

Predicciones vs. Valores Reales:

  • Las predicciones varían significativamente de los valores reales, con tendencias claras de subestimación o sobreestimación en varios casos. Por ejemplo, para un valor real de 75, el modelo predice aproximadamente 64.89, y para un valor real de 19, predice alrededor de 37.29, lo que muestra errores sustanciales en ambas direcciones.

El árbol de decisión probado requiere mejoras significativas o la consideración de alternativas más robustas para lograr una predicción precisa y confiable en este conjunto de datos. El enfoque actual muestra limitaciones claras en términos de precisión predictiva y generalización a datos no vistos.

4. Random Forest¶

In [51]:
rf = RandomForestRegressor(random_state=0, n_estimators=200, max_features='sqrt')

# Definir un grid de parámetros más complejo
rf_param_grid = {
    'max_depth': range(1, 15),
    'n_estimators': [50, 100], 
    'min_samples_split': [2, 10],
    'min_samples_leaf': [1, 4],
    'max_features': ['sqrt', 'log2']
}

rf_model_1 = train_and_plot_model(rf, rf_param_grid, X_train, y_train)

Fitting 3 folds for each of 224 candidates, totalling 672 fits
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time=   0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time=   0.1s
Best mean cross-validation score: 0.444
Best parameters: {'max_depth': 13, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
In [52]:
print("Train: ",rf_model_1.score(X_train,y_train))
print("Test: ",rf_model_1.score(X_test,y_test))

Train:  0.9149804713542204
Test:  0.47987250658194847
In [53]:
rf_param_grid = {'max_depth': range(1, 15)} # Grid de parámetros simple
rf_model_2 = train_and_plot_model(rf, rf_param_grid, X_train, y_train)

Fitting 3 folds for each of 14 candidates, totalling 42 fits
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
Best mean cross-validation score: 0.442
Best parameters: {'max_depth': 12}

Cuando se utiliza un solo parámetro (max_depth) en el modelo de Random Forest, se observa un ligero aumento en la puntuación de validación cruzada comparado con el uso de múltiples parámetros (max_depth, n_estimators, min_samples_split, min_samples_leaf, max_features). Este fenómeno puede deberse a la complejidad adicional y las interacciones entre múltiples parámetros que no necesariamente se traducen en mejoras lineales del rendimiento. Las combinaciones adicionales pueden introducir sobreajuste en el grid search o no captar adecuadamente las sinergias entre los parámetros, especialmente en un conjunto de datos con características particulares.

In [54]:
print(f"Train: {rf_model_2.score(X_train,y_train)}")
print(f"Test: {rf_model_2.score(X_test,y_test)}\n")

evaluate_model_reg(rf_model_2,X_test, y_test, title="Random Forest")

Train: 0.9033705451187493
Test: 0.49033077147973125

MAE: 7.1980
MSE: 90.1050
RMSE: 9.4920
R2: 0.4900
Out[54]:
{'MAE': 7.198, 'MSE': 90.105, 'RMSE': 9.492, 'R2': 0.49}
In [55]:
plot_feature_importance(rf_model_2, X_train.columns, figsize=(10,12))
In [56]:
# Curva de Aprendizaje
train_sizes, train_scores, valid_scores = learning_curve(
    rf_model_2, X_train, y_train, train_sizes=np.linspace(0.01, 1.0, 40), cv=5,
    scoring="neg_root_mean_squared_error")
train_errors = -train_scores.mean(axis=1)
valid_errors = -valid_scores.mean(axis=1)

plt.plot(train_sizes, train_errors, "r-+", linewidth=2, label="train")
plt.plot(train_sizes, valid_errors, "b-", linewidth=2, label="valid")
plt.xlabel('Tamaño del conjunto de entrenamiento')
plt.ylabel('RMSE')
plt.title('Curva de aprendizaje')
plt.legend()
sns.despine(top=True, right=True, left=False, bottom=False)
plt.show()

La curva de aprendizaje y las métricas asociadas indican que el modelo de Random Forest, antes de la selección de características, muestra un sobreajuste significativo, con un excelente rendimiento en el conjunto de entrenamiento pero un rendimiento más modesto en el conjunto de prueba. Este comportamiento sugiere la necesidad de ajustar la complejidad del modelo o de implementar métodos para mejorar la generalización, como la selección de características o el ajuste de parámetros.

Random Forest con Selección de Características¶

In [57]:
columns = ['peso', 'pace_walk', 'step rate_walk', 'stride length_walk',
           'footstrike type_walk', 'total force rate_walk', 'step length_walk',
           'stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc']

rf = RandomForestRegressor(random_state=0, n_estimators=200, max_features='sqrt')
rf_param_grid = {'max_depth': range(1, 15)}
rf_model_3 = train_and_plot_model(rf, rf_param_grid, X_train[columns], y_train, cv=10)

Fitting 10 folds for each of 14 candidates, totalling 140 fits
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=1; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=2; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=3; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=4; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=5; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=6; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=7; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=8; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END ........................................max_depth=9; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=10; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=11; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=12; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=13; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
[CV] END .......................................max_depth=14; total time=   0.1s
Best mean cross-validation score: 0.470
Best parameters: {'max_depth': 13}
In [58]:
print(f"Train: {rf_model_3.score(X_train[columns],y_train)}")
print(f"Test: {rf_model_3.score(X_test[columns],y_test)}\n")
evaluate_model_reg(rf_model_3,X_test[columns], y_test, title="Random Forest")

Train: 0.911420142647305
Test: 0.5095984277504668

MAE: 7.1250
MSE: 86.6990
RMSE: 9.3110
R2: 0.5100
Out[58]:
{'MAE': 7.125, 'MSE': 86.699, 'RMSE': 9.311, 'R2': 0.51}
In [59]:
y_pred = rf_model_3.predict(X_test[columns])
print("Comparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
    print(f'Real: {real}, Predicho: {pred}')

Comparación de valores reales y predichos:
Real: 29, Predicho: 30.496489381595502
Real: 35, Predicho: 25.388893628358034
Real: 35, Predicho: 42.654107643704776
Real: 29, Predicho: 31.797660492371406
Real: 27, Predicho: 37.88986021448361
Real: 75, Predicho: 54.769285714285715
Real: 59, Predicho: 53.94236103335079
Real: 27, Predicho: 35.94084556985883
Real: 61, Predicho: 47.10459560337143
Real: 19, Predicho: 34.96987349529126

Conclusiones¶

La selección de características ha resultado en un modelo de Random Forest más eficiente y efectivo, demostrando una mejor capacidad predictiva y precisión. El modelo ahora no solo es más simple y se entrena más rápidamente, sino que también muestra una mejoría en todos los aspectos de su rendimiento evaluado mediante métricas estándar. A pesar de las mejoras, continúan existiendo áreas de oportunidad para optimizar aún más el rendimiento.

5. Gradient Boosting Regressor¶

In [60]:
gbr = GradientBoostingRegressor(random_state=42)

# Definir un grid de parámetros más complejo
param_grid = {
    'n_estimators': [100, 200],
    'max_depth': range(1, 15),
    'min_samples_split': [2, 5],
    'learning_rate': [0.01, 0.1],
    'subsample': [0.9, 1.0]
}

gbr_model = train_and_plot_model(gbr, param_grid, X_train, y_train)

Fitting 3 folds for each of 224 candidates, totalling 672 fits
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.6s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.6s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.6s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.6s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.4s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.6s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.6s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=200, subsample=1.0; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=100, subsample=0.9; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=100, subsample=1.0; total time=   0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.6s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=200, subsample=0.9; total time=   0.6s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.6s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.6s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=200, subsample=1.0; total time=   0.6s
Best mean cross-validation score: 0.466
Best parameters: {'learning_rate': 0.01, 'max_depth': 9, 'min_samples_split': 2, 'n_estimators': 200, 'subsample': 0.9}
In [61]:
print(f"Train: {gbr_model.score(X_train,y_train)}")
print(f"Test: {gbr_model.score(X_test,y_test)}\n")

evaluate_model_reg(gbr_model,X_test, y_test, title="Gradient Boosting Regressor")

Train: 0.9515814811569567
Test: 0.3800798320539087

MAE: 7.7400
MSE: 109.5970
RMSE: 10.4690
R2: 0.3800
Out[61]:
{'MAE': 7.74, 'MSE': 109.597, 'RMSE': 10.469, 'R2': 0.38}
In [62]:
plot_feature_importance(gbr_model, X_train.columns, figsize=(10,12))
In [63]:
columns = ['pace_walk','step rate_walk', 'braking gs_walk', 'footstrike type_walk', 'total force rate_walk',
           'step length_walk','stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc']

# Definir un grid de parámetros más complejo
param_grid = {
    'n_estimators': [100, 150],
    'max_depth': range(1, 10),
    'min_samples_split': [10, 20],
    'learning_rate': [0.05, 0.1],
    'subsample': [0.5, 0.7]
}

gbr_model_2 = train_and_plot_model(gbr, param_grid, X_train[columns], y_train, cv=10)

Fitting 10 folds for each of 144 candidates, totalling 1440 fits
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time=   0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time=   0.2s
Best mean cross-validation score: 0.493
Best parameters: {'learning_rate': 0.05, 'max_depth': 7, 'min_samples_split': 10, 'n_estimators': 150, 'subsample': 0.7}
In [64]:
print(f"Train: {gbr_model_2.score(X_train[columns],y_train)}")
print(f"Test: {gbr_model_2.score(X_test[columns],y_test)}\n")
evaluate_model_reg(gbr_model_2,X_test[columns], y_test, title="Gradient Boosting Regressor")

Train: 0.9841659511012273
Test: 0.42683946430327424

MAE: 7.1670
MSE: 101.3300
RMSE: 10.0660
R2: 0.4270
Out[64]:
{'MAE': 7.167, 'MSE': 101.33, 'RMSE': 10.066, 'R2': 0.427}

Gradient Boosting Regressor con RandomSearchCV¶

In [65]:
param_dist = {
    'n_estimators': [100, 150],
    'max_depth': range(1, 10),
    'min_samples_split': sp_randint(10, 20),
    'learning_rate': [0.05, 0.1],
    'subsample': [0.5, 0.7]
}

gbr_model_3 = train_and_plot_model_randomsearchcv(gbr, param_dist, X_train[columns], y_train)

Fitting 10 folds for each of 20 candidates, totalling 200 fits
Best cross-validation score (MSE): 91.90410473539082
Best mean cross-validation score: -91.904
Best parameters: {'learning_rate': 0.05, 'max_depth': 9, 'min_samples_split': 16, 'n_estimators': 150, 'subsample': 0.7}
In [66]:
print(f"Train: {gbr_model_3.score(X_train[columns],y_train)}")
print(f"Test: {gbr_model_3.score(X_test[columns],y_test)}\n")
evaluate_model_reg(gbr_model_3,X_test[columns], y_test, title="Gradient Boosting Regressor")

Train: 0.9885997671496616
Test: 0.46768601112651975

MAE: 6.9740
MSE: 94.1090
RMSE: 9.7010
R2: 0.4680
Out[66]:
{'MAE': 6.974, 'MSE': 94.109, 'RMSE': 9.701, 'R2': 0.468}
In [67]:
y_pred = gbr_model_3.predict(X_test[columns])
print("Comparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
    print(f'Real: {real}, Predicho: {pred}')

Comparación de valores reales y predichos:
Real: 29, Predicho: 31.2271197186618
Real: 35, Predicho: 23.22535962625706
Real: 35, Predicho: 37.854869903630316
Real: 29, Predicho: 29.426300777363796
Real: 27, Predicho: 43.69025961373089
Real: 75, Predicho: 62.26248739283441
Real: 59, Predicho: 57.37432280395004
Real: 27, Predicho: 39.45618902267899
Real: 61, Predicho: 44.83323066833493
Real: 19, Predicho: 29.31707946800116

6. Bagging Regressor¶

In [68]:
maxDepth = range(1,15)
tuned_parameters = {'estimator__max_depth': maxDepth}

grid = GridSearchCV(
    BaggingRegressor(estimator=DecisionTreeRegressor(), random_state=0, n_estimators=200), 
    param_grid=tuned_parameters, cv=3, verbose=2) 

grid.fit(X_train, y_train)
baggingModel = grid.best_estimator_

print("best mean cross-validation score: {:.3f}".format(grid.best_score_))
print("best parameters: {}".format(grid.best_params_))
print(f"\nTrain: {baggingModel.score(X_train,y_train)}")
print(f"Test: {baggingModel.score(X_test,y_test)}")

scores = np.array(grid.cv_results_['mean_test_score'])
plt.plot(maxDepth,scores,'-o')
plt.xlabel('max_depth')
plt.ylabel('10-fold ACC')
sns.despine(top=True, right=True, left=False, bottom=False)
plt.show()

Fitting 3 folds for each of 14 candidates, totalling 42 fits
[CV] END .............................estimator__max_depth=1; total time=   0.1s
[CV] END .............................estimator__max_depth=1; total time=   0.1s
[CV] END .............................estimator__max_depth=1; total time=   0.1s
[CV] END .............................estimator__max_depth=2; total time=   0.2s
[CV] END .............................estimator__max_depth=2; total time=   0.2s
[CV] END .............................estimator__max_depth=2; total time=   0.2s
[CV] END .............................estimator__max_depth=3; total time=   0.2s
[CV] END .............................estimator__max_depth=3; total time=   0.2s
[CV] END .............................estimator__max_depth=3; total time=   0.2s
[CV] END .............................estimator__max_depth=4; total time=   0.2s
[CV] END .............................estimator__max_depth=4; total time=   0.2s
[CV] END .............................estimator__max_depth=4; total time=   0.2s
[CV] END .............................estimator__max_depth=5; total time=   0.2s
[CV] END .............................estimator__max_depth=5; total time=   0.2s
[CV] END .............................estimator__max_depth=5; total time=   0.2s
[CV] END .............................estimator__max_depth=6; total time=   0.3s
[CV] END .............................estimator__max_depth=6; total time=   0.3s
[CV] END .............................estimator__max_depth=6; total time=   0.3s
[CV] END .............................estimator__max_depth=7; total time=   0.3s
[CV] END .............................estimator__max_depth=7; total time=   0.3s
[CV] END .............................estimator__max_depth=7; total time=   0.3s
[CV] END .............................estimator__max_depth=8; total time=   0.3s
[CV] END .............................estimator__max_depth=8; total time=   0.3s
[CV] END .............................estimator__max_depth=8; total time=   0.3s
[CV] END .............................estimator__max_depth=9; total time=   0.3s
[CV] END .............................estimator__max_depth=9; total time=   0.3s
[CV] END .............................estimator__max_depth=9; total time=   0.3s
[CV] END ............................estimator__max_depth=10; total time=   0.3s
[CV] END ............................estimator__max_depth=10; total time=   0.4s
[CV] END ............................estimator__max_depth=10; total time=   0.4s
[CV] END ............................estimator__max_depth=11; total time=   0.4s
[CV] END ............................estimator__max_depth=11; total time=   0.4s
[CV] END ............................estimator__max_depth=11; total time=   0.4s
[CV] END ............................estimator__max_depth=12; total time=   0.4s
[CV] END ............................estimator__max_depth=12; total time=   0.4s
[CV] END ............................estimator__max_depth=12; total time=   0.4s
[CV] END ............................estimator__max_depth=13; total time=   0.4s
[CV] END ............................estimator__max_depth=13; total time=   0.4s
[CV] END ............................estimator__max_depth=13; total time=   0.4s
[CV] END ............................estimator__max_depth=14; total time=   0.4s
[CV] END ............................estimator__max_depth=14; total time=   0.4s
[CV] END ............................estimator__max_depth=14; total time=   0.4s
best mean cross-validation score: 0.448
best parameters: {'estimator__max_depth': 14}

Train: 0.9259123012563196
Test: 0.44858598822823614
In [69]:
plot_feature_importances_bagging(baggingModel, X_train.columns, figsize=(10,12))
In [70]:
evaluate_model_reg(baggingModel,X_test, y_test, title="Bagging Regressor")

MAE: 7.3790
MSE: 97.4850
RMSE: 9.8730
R2: 0.4490
Out[70]:
{'MAE': 7.379, 'MSE': 97.485, 'RMSE': 9.873, 'R2': 0.449}

Bagging Regressor con Selección de Características¶

In [71]:
columns = ['pace_walk', 'step rate_walk', 'footstrike type_walk', 'total force rate_walk',
           'step length_walk', 'stance excursion (mp->to)_walk', 'imc']

maxDepth = range(1,15)
tuned_parameters = {'estimator__max_depth': maxDepth}

grid = GridSearchCV(
    BaggingRegressor(estimator=DecisionTreeRegressor(), random_state=0, n_estimators=200), 
    param_grid=tuned_parameters, cv=3, verbose=2) 

grid.fit(X_train[columns], y_train)
baggingModel_2 = grid.best_estimator_

print("best mean cross-validation score: {:.3f}".format(grid.best_score_))
print("best parameters: {}".format(grid.best_params_))
print(f"\nTrain: {baggingModel_2.score(X_train[columns],y_train)}")
print(f"Test: {baggingModel_2.score(X_test[columns],y_test)}")

scores = np.array(grid.cv_results_['mean_test_score'])
plt.plot(maxDepth,scores,'-o')
plt.xlabel('max_depth')
plt.ylabel('10-fold ACC')
sns.despine(top=True, right=True, left=False, bottom=False)
plt.show()

Fitting 3 folds for each of 14 candidates, totalling 42 fits
[CV] END .............................estimator__max_depth=1; total time=   0.1s
[CV] END .............................estimator__max_depth=1; total time=   0.1s
[CV] END .............................estimator__max_depth=1; total time=   0.1s
[CV] END .............................estimator__max_depth=2; total time=   0.1s
[CV] END .............................estimator__max_depth=2; total time=   0.1s
[CV] END .............................estimator__max_depth=2; total time=   0.1s
[CV] END .............................estimator__max_depth=3; total time=   0.1s
[CV] END .............................estimator__max_depth=3; total time=   0.1s
[CV] END .............................estimator__max_depth=3; total time=   0.1s
[CV] END .............................estimator__max_depth=4; total time=   0.1s
[CV] END .............................estimator__max_depth=4; total time=   0.1s
[CV] END .............................estimator__max_depth=4; total time=   0.1s
[CV] END .............................estimator__max_depth=5; total time=   0.2s
[CV] END .............................estimator__max_depth=5; total time=   0.2s
[CV] END .............................estimator__max_depth=5; total time=   0.2s
[CV] END .............................estimator__max_depth=6; total time=   0.2s
[CV] END .............................estimator__max_depth=6; total time=   0.2s
[CV] END .............................estimator__max_depth=6; total time=   0.2s
[CV] END .............................estimator__max_depth=7; total time=   0.2s
[CV] END .............................estimator__max_depth=7; total time=   0.2s
[CV] END .............................estimator__max_depth=7; total time=   0.2s
[CV] END .............................estimator__max_depth=8; total time=   0.2s
[CV] END .............................estimator__max_depth=8; total time=   0.2s
[CV] END .............................estimator__max_depth=8; total time=   0.2s
[CV] END .............................estimator__max_depth=9; total time=   0.2s
[CV] END .............................estimator__max_depth=9; total time=   0.2s
[CV] END .............................estimator__max_depth=9; total time=   0.2s
[CV] END ............................estimator__max_depth=10; total time=   0.2s
[CV] END ............................estimator__max_depth=10; total time=   0.2s
[CV] END ............................estimator__max_depth=10; total time=   0.2s
[CV] END ............................estimator__max_depth=11; total time=   0.2s
[CV] END ............................estimator__max_depth=11; total time=   0.2s
[CV] END ............................estimator__max_depth=11; total time=   0.2s
[CV] END ............................estimator__max_depth=12; total time=   0.2s
[CV] END ............................estimator__max_depth=12; total time=   0.2s
[CV] END ............................estimator__max_depth=12; total time=   0.2s
[CV] END ............................estimator__max_depth=13; total time=   0.2s
[CV] END ............................estimator__max_depth=13; total time=   0.2s
[CV] END ............................estimator__max_depth=13; total time=   0.2s
[CV] END ............................estimator__max_depth=14; total time=   0.2s
[CV] END ............................estimator__max_depth=14; total time=   0.2s
[CV] END ............................estimator__max_depth=14; total time=   0.2s
best mean cross-validation score: 0.447
best parameters: {'estimator__max_depth': 13}

Train: 0.9176815970409401
Test: 0.49426886496443323
In [72]:
evaluate_model_reg(baggingModel_2,X_test[columns], y_test, title="Bagging Regressor")

MAE: 7.1680
MSE: 89.4090
RMSE: 9.4560
R2: 0.4940
Out[72]:
{'MAE': 7.168, 'MSE': 89.409, 'RMSE': 9.456, 'R2': 0.494}
In [73]:
# Curva de Aprendizaje
train_sizes, train_scores, valid_scores = learning_curve(
    baggingModel_2, X_train[columns], y_train, train_sizes=np.linspace(0.01, 1.0, 40), cv=5,
    scoring="neg_root_mean_squared_error")
train_errors = -train_scores.mean(axis=1)
valid_errors = -valid_scores.mean(axis=1)

plt.plot(train_sizes, train_errors, "r-+", linewidth=2, label="train")
plt.plot(train_sizes, valid_errors, "b-", linewidth=2, label="valid")
plt.xlabel('Tamaño del conjunto de entrenamiento')
plt.ylabel('RMSE')
plt.title('Curva de aprendizaje')
plt.legend()
sns.despine(top=True, right=True, left=False, bottom=False)
plt.show()
In [74]:
y_pred = baggingModel_2.predict(X_test[columns])
print("Comparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
    print(f'Real: {real}, Predicho: {pred}')

Comparación de valores reales y predichos:
Real: 29, Predicho: 28.78902724363164
Real: 35, Predicho: 27.40203257030282
Real: 35, Predicho: 42.66023458853238
Real: 29, Predicho: 30.19992916689276
Real: 27, Predicho: 38.778332679207594
Real: 75, Predicho: 62.43
Real: 59, Predicho: 52.5385046461507
Real: 27, Predicho: 37.69529850111199
Real: 61, Predicho: 48.25954867149758
Real: 19, Predicho: 33.656195157182

7. Extra Trees¶

In [75]:
extra_trees = ExtraTreesRegressor(random_state=42) # Definición del modelo

# Definición del espacio de parámetros para RandomizedSearchCV
param_dist = {
    'n_estimators': [100, 200, 300],
    'max_depth': range(5, 15),
    'min_samples_split': [2, 10, 20, 30],
    'min_samples_leaf': [1, 4, 10, 15],
    'max_features': ['auto', 'sqrt', 'log2']
}

# Configuración de RandomizedSearchCV
random_search = RandomizedSearchCV(extra_trees, param_distributions=param_dist, 
                                   n_iter=100, scoring='neg_mean_squared_error', 
                                   cv=10, verbose=2, random_state=42, n_jobs=-1)

random_search.fit(X_train, y_train)

# Mejores parámetros y mejor score encontrado
print("Best parameters:", random_search.best_params_)
print("Best cross-validation score (negative MSE):", random_search.best_score_)

et_model = random_search.best_estimator_ # Obtener el mejor modelo
predictions = et_model.predict(X_test) # Predicciones

# Métricas de rendimiento
print("Test MSE:", mean_squared_error(y_test, predictions))
print("Test R2:", r2_score(y_test, predictions))

Fitting 10 folds for each of 100 candidates, totalling 1000 fits
Best parameters: {'n_estimators': 200, 'min_samples_split': 2, 'min_samples_leaf': 1, 'max_features': 'log2', 'max_depth': 12}
Best cross-validation score (negative MSE): -103.1495523745162
Test MSE: 90.2179701638612
Test R2: 0.48969275360211717
In [76]:
print(f"Train: {et_model.score(X_train,y_train)}")
print(f"Test: {et_model.score(X_test,y_test)}\n")
evaluate_model_reg(et_model,X_test, y_test, title="Extra Trees")

Train: 0.8377363896948952
Test: 0.48969275360211717

MAE: 7.4220
MSE: 90.2180
RMSE: 9.4980
R2: 0.4900
Out[76]:
{'MAE': 7.422, 'MSE': 90.218, 'RMSE': 9.498, 'R2': 0.49}
In [77]:
plot_feature_importance(et_model, X_train.columns, figsize=(10,12))

Extra Trees con Selección de Características¶

In [78]:
columns = ['peso', 'pace_walk', 'step rate_walk', 'stride length_walk', 'footstrike type_walk',
           'total force rate_walk', 'stance excursion (mp->to)_walk', 'imc', 'step length_walk']

random_search.fit(X_train[columns], y_train)

# Mejores parámetros y mejor score encontrado
print("Best parameters:", random_search.best_params_)
print("Best cross-validation score (negative MSE):", random_search.best_score_)

et_model_2 = random_search.best_estimator_ # Obtener el mejor modelo
predictions = et_model_2.predict(X_test[columns]) # Predicciones

# Métricas de rendimiento
print("Test MSE:", mean_squared_error(y_test, predictions))
print("Test R2:", r2_score(y_test, predictions))

Fitting 10 folds for each of 100 candidates, totalling 1000 fits
Best parameters: {'n_estimators': 200, 'min_samples_split': 2, 'min_samples_leaf': 1, 'max_features': 'log2', 'max_depth': 12}
Best cross-validation score (negative MSE): -99.90171510716273
Test MSE: 82.21552929589849
Test R2: 0.5349576111063902
In [79]:
print(f"Train: {et_model_2.score(X_train[columns],y_train)}")
print(f"Test: {et_model_2.score(X_test[columns],y_test)}\n")
evaluate_model_reg(et_model_2,X_test[columns], y_test, title="Extra Trees")

Train: 0.8328797268992061
Test: 0.5349576111063902

MAE: 7.2670
MSE: 82.2160
RMSE: 9.0670
R2: 0.5350
Out[79]:
{'MAE': 7.267, 'MSE': 82.216, 'RMSE': 9.067, 'R2': 0.535}
In [80]:
y_pred = et_model_2.predict(X_test[columns])
print("Comparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
    print(f'Real: {real}, Predicho: {pred}')

Comparación de valores reales y predichos:
Real: 29, Predicho: 34.938003735841995
Real: 35, Predicho: 28.782103874152448
Real: 35, Predicho: 44.40529817132044
Real: 29, Predicho: 32.274647314561186
Real: 27, Predicho: 37.50579707459553
Real: 75, Predicho: 57.60453844187353
Real: 59, Predicho: 56.61607108317438
Real: 27, Predicho: 34.12505297248425
Real: 61, Predicho: 48.029634408126256
Real: 19, Predicho: 32.553082528626014

8. ElasticNet¶

In [160]:
from sklearn.linear_model import ElasticNet
from sklearn.metrics import mean_squared_error, r2_score

# Configurar el modelo ElasticNet
elastic_net = ElasticNet(alpha=0.1, l1_ratio=0.5, random_state=42)

# Entrenar el modelo
elastic_net.fit(X_train, y_train)

# Evaluar el modelo
y_pred_en = elastic_net.predict(X_test)
print(f"ElasticNet MSE: {mean_squared_error(y_test, y_pred_en)}")
print(f"ElasticNet R2: {r2_score(y_test, y_pred_en)}\n")
print(f"Train: {elastic_net.score(X_train,y_train)}")
print(f"Test: {elastic_net.score(X_test,y_test)}\n")

evaluate_model_reg(elastic_net,X_test, y_test, title="ElasticNet")

ElasticNet MSE: 108.46294011684489
ElasticNet R2: 0.3864922453174744

Train: 0.38838191246105846
Test: 0.3864922453174744

MAE: 8.2870
MSE: 108.4630
RMSE: 10.4150
R2: 0.3860
Out[160]:
{'MAE': 8.287, 'MSE': 108.463, 'RMSE': 10.415, 'R2': 0.386}
In [161]:
# Definir el rango de parámetros para ElasticNet
params_en = {
    'alpha': [0.005, 0.01, 0.1, 0.5, 1, 2],
    'l1_ratio': [0.2, 0.5, 0.8]
}

# Configurar GridSearchCV
grid_en = GridSearchCV(ElasticNet(random_state=42), params_en, cv=5, scoring='neg_mean_squared_error')
grid_en.fit(X_train, y_train)
elasticnet_model = grid_en.best_estimator_

# Mejores parámetros y score
print(f"Best parameters for ElasticNet: {grid_en.best_params_}")
print(f"Best score for ElasticNet: {-grid_en.best_score_}\n")
print(f"Train: {elasticnet_model.score(X_train,y_train)}")
print(f"Test: {elasticnet_model.score(X_test,y_test)}\n")
evaluate_model_reg(elasticnet_model, X_test, y_test, title="ElasticNet")

Best parameters for ElasticNet: {'alpha': 0.01, 'l1_ratio': 0.2}
Best score for ElasticNet: 119.69518997209795

Train: 0.3974444838716319
Test: 0.379231834038814

MAE: 8.3170
MSE: 109.7470
RMSE: 10.4760
R2: 0.3790
Out[161]:
{'MAE': 8.317, 'MSE': 109.747, 'RMSE': 10.476, 'R2': 0.379}

9. Kernel Ridge¶

In [165]:
from sklearn.kernel_ridge import KernelRidge

# Configurar el modelo Kernel Ridge
kernel_ridge = KernelRidge(alpha=1.0, kernel='polynomial', degree=2)

# Entrenar el modelo
kernel_ridge.fit(X_train, y_train)

# Evaluar el modelo
y_pred_kr = kernel_ridge.predict(X_test)
print("Kernel Ridge MSE:", mean_squared_error(y_test, y_pred_kr))
print("Kernel Ridge R2:", r2_score(y_test, y_pred_kr))
print(f"\nTrain: {kernel_ridge.score(X_train,y_train)}")
print(f"Test: {kernel_ridge.score(X_test,y_test)}\n")
evaluate_model_reg(kernel_ridge,X_test, y_test, title="Kernel Ridge")

Kernel Ridge MSE: 130.93820403400252
Kernel Ridge R2: 0.25936358103031576

Train: 0.5693897582396739
Test: 0.25936358103031576

MAE: 8.4980
MSE: 130.9380
RMSE: 11.4430
R2: 0.2590
Out[165]:
{'MAE': 8.498, 'MSE': 130.938, 'RMSE': 11.443, 'R2': 0.259}

Kernel Ridge y GridSearchCV¶

In [166]:
# Definir el rango de parámetros para Kernel Ridge
params_kr = {
    'alpha': [0.1, 1, 10],
    'kernel': ['polynomial', 'rbf'],
    'degree': [2, 3, 4]  # Solo aplicable si kernel es 'polynomial'
}

# Configurar GridSearchCV
grid_kr = GridSearchCV(KernelRidge(), params_kr, cv=5, scoring='neg_mean_squared_error')
grid_kr.fit(X_train, y_train)
kernel_ridge_2 = grid_kr.best_estimator_

# Mejores parámetros y score
print("Best parameters for Kernel Ridge:", grid_kr.best_params_)
print("Best score for Kernel Ridge:", -grid_kr.best_score_)
print(f"\nTrain: {kernel_ridge_2.score(X_train,y_train)}")
print(f"Test: {kernel_ridge_2.score(X_test,y_test)}\n")

evaluate_model_reg(kernel_ridge_2,X_test, y_test, title="Kernel Ridge")

Best parameters for Kernel Ridge: {'alpha': 10, 'degree': 2, 'kernel': 'polynomial'}
Best score for Kernel Ridge: 139.6511896211203

Train: 0.5335446789475764
Test: 0.32091494572363444

MAE: 8.3480
MSE: 120.0560
RMSE: 10.9570
R2: 0.3210
Out[166]:
{'MAE': 8.348, 'MSE': 120.056, 'RMSE': 10.957, 'R2': 0.321}

10. LightGBM¶

In [170]:
import lightgbm as lgb

# Configurar el modelo LightGBM
lgbm_regressor = lgb.LGBMRegressor(num_leaves=31, learning_rate=0.05, n_estimators=100)

# Entrenar el modelo
lgbm_regressor.fit(X_train, y_train)

# Evaluar el modelo
y_pred_lgbm = lgbm_regressor.predict(X_test)
print("LightGBM MSE:", mean_squared_error(y_test, y_pred_lgbm))
print("LightGBM R2:", r2_score(y_test, y_pred_lgbm))
evaluate_model_reg(lgbm_regressor,X_test, y_test, title="LightGBM")

[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000498 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2971
[LightGBM] [Info] Number of data points in the train set: 573, number of used features: 18
[LightGBM] [Info] Start training from score 38.537522
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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LightGBM MSE: 95.98904078909919
LightGBM R2: 0.4570493771862665
MAE: 7.4570
MSE: 95.9890
RMSE: 9.7970
R2: 0.4570
Out[170]:
{'MAE': 7.457, 'MSE': 95.989, 'RMSE': 9.797, 'R2': 0.457}
In [169]:
print(f"Train: {lgbm_regressor.score(X_train,y_train)}")
print(f"Test: {lgbm_regressor.score(X_test,y_test)}")

Train: 0.8974788781727983
Test: 0.4570493771862665
In [167]:
# Definir el rango de parámetros para LightGBM
params_lgbm = {
    'num_leaves': [31, 50, 70],
    'learning_rate': [0.01, 0.05, 0.1],
    'n_estimators': [50, 100, 200]
}

# Configurar GridSearchCV
grid_lgbm = GridSearchCV(lgb.LGBMRegressor(random_state=42), params_lgbm, cv=5, scoring='neg_mean_squared_error')
grid_lgbm.fit(X_train, y_train)
lgbm_model = grid_lgbm.best_estimator_

# Mejores parámetros y score
print("Best parameters for LightGBM:", grid_lgbm.best_params_)
print("Best score for LightGBM:", -grid_lgbm.best_score_)
evaluate_model_reg(lgbm_model,X_test, y_test, title="LightGBM")

[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000488 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000636 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2971
[LightGBM] [Info] Number of data points in the train set: 573, number of used features: 18
[LightGBM] [Info] Start training from score 38.537522
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
Best parameters for LightGBM: {'learning_rate': 0.05, 'n_estimators': 200, 'num_leaves': 31}
Best score for LightGBM: 103.00215074148855
MAE: 6.8560
MSE: 90.5850
RMSE: 9.5180
R2: 0.4880
Out[167]:
{'MAE': 6.856, 'MSE': 90.585, 'RMSE': 9.518, 'R2': 0.488}
In [168]:
print(f"Train: {lgbm_model.score(X_train,y_train)}")
print(f"Test: {lgbm_model.score(X_test,y_test)}\n")

Train: 0.9734573170546146
Test: 0.48761916970828056

11. XGB Regressor¶

In [172]:
import xgboost as xgb

# Configurar el modelo XGBoost
xgb_regressor = xgb.XGBRegressor(objective ='reg:squarederror', colsample_bytree = 0.3, learning_rate = 0.1,
                max_depth = 5, alpha = 10, n_estimators = 100)

# Entrenar el modelo
xgb_regressor.fit(X_train, y_train)

# Evaluar el modelo
y_pred_xgb = xgb_regressor.predict(X_test)
print("XGB Regressor MSE:", mean_squared_error(y_test, y_pred_xgb))
print("XGB Regressor R2:", r2_score(y_test, y_pred_xgb))
print(f"\nTrain: {xgb_regressor.score(X_train,y_train)}")
print(f"Test: {xgb_regressor.score(X_test,y_test)}\n")
evaluate_model_reg(xgb_regressor, X_test, y_test, title="XGB Regressor")

XGB Regressor MSE: 93.93934164610442
XGB Regressor R2: 0.4686432572492515

Train: 0.9480204202582996
Test: 0.4686432572492515

MAE: 7.2840
MSE: 93.9390
RMSE: 9.6920
R2: 0.4690
Out[172]:
{'MAE': 7.284, 'MSE': 93.939, 'RMSE': 9.692, 'R2': 0.469}
In [171]:
# Definir el rango de parámetros para XGBoost
params_xgb = {
    'max_depth': [3, 5, 7],
    'learning_rate': [0.01, 0.05, 0.1],
    'n_estimators': [50, 100, 200],
    'colsample_bytree': [0.3, 0.5, 0.7]
}

# Configurar GridSearchCV
grid_xgb = GridSearchCV(xgb.XGBRegressor(objective ='reg:squarederror', random_state=42), params_xgb, cv=5, scoring='neg_mean_squared_error')
grid_xgb.fit(X_train, y_train)
xgb_model = grid_xgb.best_estimator_

# Mejores parámetros y score
print("Best parameters for XGBoost:", grid_xgb.best_params_)
print("Best score for XGBoost:", -grid_xgb.best_score_)
print(f"\nTrain: {xgb_model.score(X_train,y_train)}")
print(f"Test: {xgb_model.score(X_test,y_test)}\n")
evaluate_model_reg(xgb_model,X_test, y_test, title="XGB Regressor")

Best parameters for XGBoost: {'colsample_bytree': 0.3, 'learning_rate': 0.05, 'max_depth': 7, 'n_estimators': 200}
Best score for XGBoost: 96.252236288979

Train: 0.9973961670929534
Test: 0.4631769052007956

MAE: 6.6280
MSE: 94.9060
RMSE: 9.7420
R2: 0.4630
Out[171]:
{'MAE': 6.628, 'MSE': 94.906, 'RMSE': 9.742, 'R2': 0.463}

Evaluación de modelos¶

In [177]:
# Diccionario de modelos y sus correspondientes características
modelos = {
    'Decision Tree 2': (dt_model_2, ['peso', 'braking gs_walk', 'footstrike type_walk', 'contact ratio_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (mp->to)_walk','stride length_walk', 'imc']),
    'Random Forest 2': (rf_model_2, X_train.columns.tolist()), 
    'Random Forest 3': (rf_model_3, ['peso', 'pace_walk', 'step rate_walk', 'stride length_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc']),
    'Gradient Boosting Regressor': (gbr_model, X_train.columns.tolist()),
    'Gradient Boosting Regressor 2': (gbr_model_2, ['pace_walk', 'step rate_walk', 'braking gs_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc']),
    'Gradient Boosting Regressor 3': (gbr_model_3, ['pace_walk', 'step rate_walk', 'braking gs_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc']),
    'Bagging Regressor 2': (baggingModel_2, ['pace_walk', 'step rate_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (mp->to)_walk', 'imc']),
    'Extra Trees 1': (et_model, X_train.columns.tolist()),
    'Extra Trees 2': (et_model_2, ['peso', 'pace_walk', 'step rate_walk', 'stride length_walk', 'footstrike type_walk', 'total force rate_walk', 'stance excursion (mp->to)_walk', 'imc', 'step length_walk'])
}

# Preparar un DataFrame para almacenar los resultados
resultados = pd.DataFrame(columns=['Modelo', 'MAE', 'MSE', 'RMSE', 'R2'])

# Evaluar cada modelo con sus características correspondientes
for name, (model, columns) in modelos.items():
    start_time = time.time() 
    X_train_selected = X_train[columns]
    X_test_selected = X_test[columns]
    modelo.fit(X_train_selected, y_train)  # Entrenar el modelo
    elapsed_time = round(time.time() - start_time, 3)  # Calcular el tiempo transcurrido
    
    y_pred = modelo.predict(X_test_selected)
    mae = round(mean_absolute_error(y_test, y_pred), 3)
    mse = round(mean_squared_error(y_test, y_pred), 3)
    rmse = round(mse ** 0.5, 3)
    r2 = round(r2_score(y_test, y_pred), 3)
    resultados_df = pd.DataFrame({
        'Modelo': [name],
        'MAE': [mae],
        'MSE': [mse],
        'RMSE': [rmse],
        'R2': [r2],
        'Tiempo de entrenamiento (s)': elapsed_time
    })
    
    print(f"{name} - Train: {model.score(X_train[columns], y_train)}")
    print(f"{name} - Test: {model.score(X_test[columns], y_test)}\n")

    resultados = pd.concat([resultados, resultados_df], ignore_index=True)

resultados.sort_values(by=['R2', 'Tiempo de entrenamiento (s)'], ascending=[False, True], inplace=True)
print(resultados)

Decision Tree 2 - Train: 0.40006471949444344
Decision Tree 2 - Test: 0.19060473974886327

Random Forest 2 - Train: 0.9033705451187493
Random Forest 2 - Test: 0.49033077147973125

Random Forest 3 - Train: 0.911420142647305
Random Forest 3 - Test: 0.5095984277504668

Gradient Boosting Regressor - Train: 0.9515814811569567
Gradient Boosting Regressor - Test: 0.3800798320539087

Gradient Boosting Regressor 2 - Train: 0.9841659511012273
Gradient Boosting Regressor 2 - Test: 0.42683946430327424

Gradient Boosting Regressor 3 - Train: 0.9885997671496616
Gradient Boosting Regressor 3 - Test: 0.46768601112651975

Bagging Regressor 2 - Train: 0.9176815970409401
Bagging Regressor 2 - Test: 0.49426886496443323

Extra Trees 1 - Train: 0.8377363896948952
Extra Trees 1 - Test: 0.48969275360211717

Extra Trees 2 - Train: 0.8328797268992061
Extra Trees 2 - Test: 0.5349576111063902

                          Modelo    MAE     MSE   RMSE     R2  \
8                  Extra Trees 2  7.267  82.216  9.067  0.535   
2                Random Forest 3  7.235  83.805  9.155  0.526   
0                Decision Tree 2  7.297  85.617  9.253  0.516   
4  Gradient Boosting Regressor 2  7.336  85.913  9.269  0.514   
5  Gradient Boosting Regressor 3  7.336  85.913  9.269  0.514   
6            Bagging Regressor 2  7.526  87.784  9.369  0.503   
1                Random Forest 2  7.422  90.218  9.498  0.490   
3    Gradient Boosting Regressor  7.422  90.218  9.498  0.490   
7                  Extra Trees 1  7.422  90.218  9.498  0.490   

   Tiempo de entrenamiento (s)  
8                        0.062  
2                        0.061  
0                        0.087  
4                        0.062  
5                        0.062  
6                        0.054  
1                        0.066  
3                        0.068  
7                        0.068

Conclusiones¶

  • Mejor Desempeño General: El modelo Extra Trees 2 presenta el mejor equilibrio entre las métricas evaluadas, alcanzando el menor MSE y RMSE, y el mayor R² (0.535), indicando que es capaz de explicar aproximadamente el 53.5% de la variabilidad en los datos. Esto sugiere una buena capacidad de generalización y eficacia en la captura de la complejidad de los datos.

  • Comparación con Otros Modelos:

    • Los modelos Random Forest también muestran un rendimiento competitivo, especialmente Random Forest 3, que logra un R² de 0.510. Esto indica que los enfoques basados en árboles son particularmente efectivos para este conjunto de datos.
    • Los modelos de Gradient Boosting y Bagging Regressor exhiben un desempeño moderado, con un R² que varía desde 0.380 hasta 0.494. Aunque no superan a los modelos de Extra Trees o Random Forest, aún proporcionan una predicción razonablemente precisa.

  • Desempeño del Decision Tree:

    • El Decision Tree 2 muestra un rendimiento significativamente más bajo en comparación con los modelos de ensamble, con un R² de solo 0.191. Esto resalta la tendencia de los árboles de decisión individuales a sobreajustarse y su limitada capacidad para manejar la complejidad sin un método de ensamble.

  • Estrategias de Ensamblaje Ajustadas: Los ensayos confirmaron la fortaleza de los métodos de ensamble como Extra Trees y Random Forest, destacando su robustez y precisión. A pesar de dedicar un día entero a la optimización de hiperparámetros, se reconoce que existe margen para mejoras futuras. Por ahora, se decidió avanzar, pero se planea regresar a este punto para refinar aún más estos modelos a medida que los plazos del proyecto lo permitan.

  • Análisis Riguroso de Características: La selección de características para cada modelo se basó en un análisis detallado de su importancia. Este enfoque ha permitido enfocar los modelos en las variables más influyentes, optimizando así la eficiencia sin sacrificar el rendimiento.

  • Evaluación Preliminar y Pruebas Adicionales: Además de las pruebas iniciales, se contempla realizar evaluaciones adicionales con nuevos conjuntos de datos o en escenarios externos para validar la robustez de los modelos, especialmente del modelo Extra Trees 2, que mostró un excelente balance entre precisión y generalización.

  • Gestión de Recursos Computacionales: Aunque en las pruebas actuales no se notaron tiempos de ejecución excesivos, se evaluarán los costos computacionales de entrenamiento de cada modelo para asegurar que su implementación sea viable en producción. Esta evaluación ayudará a identificar modelos que, aunque precisos, podrían requerir una inversión desproporcionada de recursos.

  • Patrones y Columnas Comunes: Los análisis indicaron que ciertas características como 'pace_walk', 'step rate_walk', 'stride length_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', y 'imc' son recurrentemente utilizadas debido a su alta predictibilidad. La repetida selección de estas variables sugiere que encierran elementos fundamentales de los datos que son cruciales para la modelización eficaz.

Stacking y Voting Regressor¶

Stacking¶

Stacking implica combinar las predicciones de múltiples modelos de regresión mediante un meta-modelo que aprende a optimizar la combinación basada en el rendimiento de los modelos base.

In [94]:
# Características de cada modelo
features_dt_model_2 = set(['peso', 'braking gs_walk', 'footstrike type_walk', 'contact ratio_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (mp->to)_walk','stride length_walk', 'imc'])
features_rf_model_3 = set(['peso', 'pace_walk', 'step rate_walk', 'stride length_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc'])
features_gbr_model_3 = set(['pace_walk', 'step rate_walk', 'braking gs_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc'])

# Características comunes a todos los modelos
common_features = features_dt_model_2 & features_rf_model_3 & features_gbr_model_3

# Características únicas para cada modelo
unique_dt_model_2 = features_dt_model_2 - (features_rf_model_3 | features_gbr_model_3)
unique_rf_model_3 = features_rf_model_3 - (features_dt_model_2 | features_gbr_model_3)
unique_gbr_model_3 = features_gbr_model_3 - (features_dt_model_2 | features_rf_model_3)

print("Características comunes:", common_features)
print("Características únicas para dt_model_2:", unique_dt_model_2)
print("Características únicas para rf_model_3:", unique_rf_model_3)
print("Características únicas para gbr_model_3:", unique_gbr_model_3)

Características comunes: {'step length_walk', 'total force rate_walk', 'footstrike type_walk', 'stance excursion (mp->to)_walk', 'imc'}
Características únicas para dt_model_2: {'contact ratio_walk'}
Características únicas para rf_model_3: set()
Características únicas para gbr_model_3: set()
In [135]:
# Características comunes identificadas
common_features = ['step length_walk','total force rate_walk','footstrike type_walk','stance excursion (mp->to)_walk','imc']

# Crear el Stacking Regressor
stacking_regressor = StackingRegressor(
    estimators=[
        ('et', et_model_2),
        ('rf', rf_model_3),
        ('gbr', gbr_model_3)
    ],
    final_estimator=LinearRegression(),
    cv=5
)

# Entrenar el Stacking Regressor usando solo las características comunes
stacking_regressor.fit(X_train[common_features], y_train)

# Evaluar el modelo en el conjunto de test
score = stacking_regressor.score(X_test[common_features], y_test)
y_pred = stacking_regressor.predict(X_test[common_features])

print(f"Score del Stacking Regressor: {score}\n")
print(f"MAE: {round(mean_absolute_error(y_test, y_pred), 3)}")
print(f"MSE: {round(mean_squared_error(y_test, y_pred), 3)}")
print(f"RMSE: {round(mse ** 0.5, 3)}")
print(f"R2: {round(r2_score(y_test, y_pred), 3)}")

Score del Stacking Regressor: 0.5536440316619045

MAE: 6.762
MSE: 78.912
RMSE: 9.067
R2: 0.554

Voting Regressor¶

Es un enfoque de ensamblaje que hace predicciones basadas en la media de varios modelos de regresión

In [125]:
voting_regressor = VotingRegressor(
    estimators=[
        ('et', et_model_2),
        ('rf', rf_model_3),
        ('gbr', gbr_model_3)
    ],
    weights=[1, 1, 1]  # Ajustar los pesos si algunos modelos son consistentemente mejores
)

# Entrenar el Voting Regressor usando solo las características comunes
voting_regressor.fit(X_train[common_features], y_train)

# Evaluar el modelo en el conjunto de test
voting_score = voting_regressor.score(X_test[common_features], y_test)
y_pred = voting_regressor.predict(X_test[common_features])

print(f"Score del Voting Regressor: {voting_score}\n")
print(f"MAE: {round(mean_absolute_error(y_test, y_pred), 3)}")
print(f"MSE: {round(mean_squared_error(y_test, y_pred), 3)}")
print(f"RMSE: {round(mse ** 0.5, 3)}")
print(f"R2: {round(r2_score(y_test, y_pred), 3)}")

Score del Voting Regressor: 0.524033880422744

MAE: 7.02
MSE: 84.147
RMSE: 9.067
R2: 0.524
In [132]:
# Definición de modelos
voting_reg = VotingRegressor(
    estimators=[
        ('random_forest', RandomForestRegressor(n_estimators=100, random_state=42)),
        ('gradient_boosting', GradientBoostingRegressor(n_estimators=100, random_state=42)),
        ('extra_trees', ExtraTreesRegressor(n_estimators=100, random_state=42))
    ],
    weights=[1, 1, 2] 
)

voting_reg.fit(X_train, y_train)
y_pred = voting_reg.predict(X_test)
print(f'Score del Voting Regressor: {voting_reg.score(X_test, y_test)}\n')
print(f"MAE: {round(mean_absolute_error(y_test, y_pred), 3)}")
print(f"MSE: {round(mean_squared_error(y_test, y_pred), 3)}")
print(f"RMSE: {round(mse ** 0.5, 3)}")
print(f"R2: {round(r2_score(y_test, y_pred), 3)}")

Score del Voting Regressor: 0.5340558395913553

MAE: 6.636
MSE: 82.375
RMSE: 9.067
R2: 0.534